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Registration data analysis
- 8. 46734137814683913781469121378147035137814713120901472 12209014731020901474372090147526209014763918221477331 822147838182214792918221480241822 Respond to the following in a minimum of 190 words: A researcher is interested in investigating how teaching style (structured vs. unstructured) affects learning of vocabulary in children who are developmentally delayed, typically developing and gifted. The researcher organizes an after-school program and all participants are given a pretest. The program consists of 30 minute sessions, two times a week for four weeks. A total of 15 participants are randomly assigned to the 'high structure' class’ or the 'low structure' class. All classes focus on word knowledge and vocabulary. At the end of the program, the researcher assesses 'word knowledge' for developmentally delayed, typical and gifted students in the high structure group, as well as developmentally delayed, typical and gifted students in the low structure group. The researcher is wondering whether the level of structure (high vs. low) might affect the participant groups differently. What type of research is this? What would be the purpose of the pre test? What would be the RQ? What would be the hypotheses (null and research)? What would be the dependent variable? What would be the independent variable? Please explain what power issues may arise. Case: Ashland-Baldwin College (ABC) Analyzing Course Registration Objectives In this case you will learn how to: · Create an Access database
- 9. · Create a table · Design a table · Import data from Excel · Specify the primary key · Create a relationship between tables · Create a report · Calculate fields · Use aggregate functions · Use query summary features Ashland-Baldwin College (ABC) is a small liberal arts college in rural Michigan. ABC prides itself on its small class sizes and the one-on-one attention that students receive from the faculty. They call this the “ABC Experience” and argue that no larger institution can match it. While ABC may provide students with individualized attention in the classroom, it still needs to improve other aspects of the student experience. For example, students have long complained that registering for classes at ABC is a serious problem. When registering for classes, students often find that the courses they need are not offered or, if they are offered, the sections fill up quickly with extra students being placed on wait lists. The problem has become something of a joke on campus but ABC’s President, Dr. William Grawn, is not laughing. Dr. Grawn has publicly stated that the registration issue is his highest priority. To prove the point, Dr. Grawn personally approved the hire of a new Registrar for the College. Pam Smith is ABC’s first new Registrar in nearly 20 years. The previous Registrar retired after Dr. Grawn made it clear that changes needed to be made. Upon assuming her new role, Pam’s first act was to thoroughly review the existing registration process. She was shocked to find that much of the process was actually done by hand. Past efforts to automate the process had always been resisted by the previous Registrar who frequently claimed “machines can’t provide the ABC Experience”. Even when ABC purchased its current registration system, over a decade ago, little actually changed. While the
- 10. system allows ABC to do computer-based registration, it is too simple to provide anything beyond basic “data dump” reporting. The system has no real data analysis functionality which makes it difficult for the Registrar to plan properly. Without demand data, the Registrar doesn’t know what courses to offer or when to offer them. The lack of data also causes the Registrar to assign sections to rooms that are often too big or too small. This then leads to some sections having lots of empty seats (a waste of resources) while other sections are overflowing and have to use wait lists (unhappy students). Based on the limitations of the existing registration system, Pam has decided to replace it with a new database. Pam’s hope is that this new database will make registration data more accessible and easier to analyze. This should, in turn, improve the registration experience for students while helping ABC better utilize it classroom and lab resources. Pam asked ABC’s Information Systems department to design the new database. After much discussion, it was determined that the database should contain four tables: Course, Section, Room, and Registration. The Course table will store data about the courses in the ABC catalog. This data will include the course designator, title, description, and credits. The Section table will store data about specific course offerings. This will include data such as the course ID, the day/time of the section, and the section’s assigned room. The Room table will store data about all the classrooms and labs on campus. Specific data will include the room’s building and number, as well as, the room’s seating capacity. Finally, the Registration table will store data about the sections that students have registered for. The design for the new database is modeled in the Entity Relation Diagram (ERD) (see Figure 1). The ERD indicates: · A course can have many sections, but each section is for a single course. · A section is assigned to a single room, but a room can be used for many sections. · A section can have many student registrations, but each
- 11. registration is for a single section. Figure 1: Entity-Relation Diagram (ERD) Based on the ERD, the Information Systems department designed the tables to contain specific data. The description of each table’s data is detailed in Figures 2-4. It is not necessary to type in the “Field Description” entry. That is for informational purposes only. FIELD NAME FIELD DESCRIPTION DATA TYPE FIELD SIZE CourseID Identification number uniquely designating each course Number Integer Designator Course’s designator Short Text 8 CourseTitle Course’s title Short Text 40 Description Course’s description Short Text 100 Credits Course’s number of credits Number Integer Department Department that teaches the course Short Text 20
- 12. College College where the course’s department belongs Short Text 20 Figure 2: Course Table Data Structure FIELD NAME FIELD DESCRIPTION DATA TYPE FIELD SIZE SectionID Identification number uniquely designating each section Number Integer CourseID Identification number of the course the section belongs to Number Integer RoomID Identification number of the room where the section is assigned Number Integer ClassTime Day/Time when section will be held Short Text 20 Figure 3: Section Table Data Structure FIELD NAME FIELD DESCRIPTION DATA TYPE FIELD SIZE RoomID Identification number uniquely designating each room Number Integer
- 13. BuildingName Building’s name Short Text 20 RoomNbr Room’s number within the building Number Integer RoomName Room’s name Short Text 40 RoomType Room’s type (C=classroom, L=lab) Short Text 1 Capacity Number of seats in the room Number Integer Figure 4: Room Table Data Structure FIELD NAME FIELD DESCRIPTION DATA TYPE FIELD SIZE RegistrationID Identification number uniquely designating each student registration Number Integer SectionID Identification number of the section the student is registering for Number Integer
- 14. StudentID Identification number of the student registering for the section Number Integer Figure 5: Registration Table Data Structure Now that the design is complete, Pam has asked you to build the database and complete an analysis of the registration data. When finished, submit your database in Blackboard. Task 1: Launch Access and create a new database that you name ABC.accdb. Use Table Design view to create a new table, that you name Course, which contains the fields from the Course table data structure (Figure 2). Specify the CourseID as the primary key for this table. Save your database with your newly defined table. Copy the records from the ABC_Course.XLSX file and paste them into the Course table. Adjust column widths as needed to make the data readable. Task 2: Add the Section table to your ABC database using the External Data → Import Excel tool. The Section data is stored in the ABC_Section.XLSX file. Be sure to specify SectionID as the primary key of the table. After you have imported the Section table from Excel, use the Design View to specify the data types as indicated in the Section Table Data Structure (Figure 3). Task 3: Create a new table, that you name Room, which contains the fields from the Room Table Data structure (Figure 4). Specify the RoomID as the primary key for this table. Copy the records from the ABC_Room.XLSX file and paste them into the Room table. Task 4: Add the Registration table to your ABC database using the External Data → Import Excel tool. The Registration data is stored in the ABC_Registration.XLSX file. Be sure to specify RegistrationID as the primary key of the table. After you have imported the Registration table from Excel, use the Design View to specify the data types as indicated in the Registration Table Data Structure (Figure 5).
- 15. Task 5: Create the relationships between the Course, Section, Room, and Registration tables as shown in the ERD (Figure 1). Enforce referential integrity for each relationship. Task 6: Create queries to help Pam answer the following questions. “List” means to show these fields as output. a. Which courses are offered by the Business College? List the Department, Designator, CourseTitle, and Credits. Sort the results by Department and Designator in ascending order. Name the query Task6A. b. Which students registered for Elementary Education 1-3 on MWF 3:00-3:50? List only the StudentID. Sort the results in ascending order. Name the query Task6B. c. Which classrooms have a capacity between 50 and 60 (inclusive)? List the BuildingName, RoomNbr, RoomName, and Capacity. Sort by BuildingName and RoomNbr in ascending order. Name the query Task6C. d. How many sections are offered by each department? List the Department and the count of SectionID. Sort the results by the count in descending order. Name the query Task6D. e. Which sections are taught on Tuesday-Thursday? List the SectionID, Designator, CourseTitle, BuildingName, RoomNbr, and ClassTime for all Tuesday-Thursday (TTH) sections. Sort the results by Designator in ascending order. Name the query Task6E. Hint: You will need to use wildcards to find class times that begin with TTH. f. What is the average capacity of a classroom? List only the average capacity (do not include labs). Name the query Task6F. g. How many students are registered by section? List the SectionID, Designator, ClassTime, RoomID, and count of RegistrationID. Name the count fields as Registered. Name the query Task6G. For the remaining tasks, you will need to use the Task6G query as a data source to complete the queries (other tables may also be required). h. When more students register for a section than the room can hold (capacity), they go on the Wait List. Which sections have
- 16. students on the Wait List? List the SectionID, Designator, ClassTime, and Wait List (Registered – Capacity). Name the calculated field Wait List. List only the sections where Wait List is greater than zero. Sort the results by Wait List in descending order. Name the query Task6H. i. Which sections have empty seats? List the SectionID, Designator, ClassTime, and Empty Seats (Capacity - Reserved). Name the calculated field Empty Seats. List only the sections where Empty Seats is greater than zero. Sort the results by Empty Seats in descending order. Name the query Task6I. j. Which courses averaged more than 25 registered students? List the Designator and the average Registered. Sort the results by the average in descending order. Name the query Task6J. Task 7: Pam wants you to create a Room Usage Report. The report should include the BuildingName, RoomNbr, ClassTime, Designator, and CourseTitle. Group the report by BuildingName and sort the output in ascending order by RoomNbr. Figure 6 shows a design sketch for the report. Follow the details shown in this figure. Use a function for the current date. Ashland-Baldwin College Room Usage Report (current date) Building Name Room NbrClass Time Designator Course Title Kettinger 254 MWF 4:00-4:50 HIST101 American History II 456 MWF 3:00-3:50 HIST 200 History of Ancient . . . Figure 6: Room Usage Report Design Sketch Task 8: Pam wants you to create a Couse Registration Report. The report should include the Designator, CourseTitle, SectionID, ClassTime, and count of RegistrationID. Group the
- 17. report by Designator and Course Title in ascending order. Figure 7 shows a design sketch for the report. Follow the details shown in this figure. Use a function for the current date. Ashland-Baldwin College Course Registration Report (current date) Designator Course Title Section ID Class Time Registered Students ACCT200 Managerial Accounting 17 MWF 2:00-2:50 44 18 TTH 11:00-12:15 48 19 TTH 3:30-4:45 46 ... Figure 7: Course Registration Report Design Sketch Access Features Feature Help Lookup Key Word Help Lookup Topic Aggregate functions Aggregate functions Display column totals in a datasheet → Understand Sum and the other aggregate functions Calculate fields Calculate fields Calculated fields Create database Create blank database Create a new database → Creating a database without using a template Create relationship Create relationship Create, edit or delete a relationship Create table Create table
- 18. Create a table Enter data in table Enter data in table Add one or more records to a database → The basics of adding records → Add records directly to a table in datasheet view Import data from Excel Import Excel Import data from Excel to a new table in Access Primary key Primary key Create or remove a primary key Report Wizard Report Wizard Create a simple report → Create a report by suing the Report Wizard 5 SectionSectionIDCourseIDRoomIDClassTime1110MWF 9:00- 9:502210MWF 4:00-4:503312TTH 3:30-4:454412MWF 3:00- 3:50559MWF 10:00-10:50669MWF 1:00-1:507713TTH 11:00- 12:158713TTH 12:30-1:459814MWF 10:00-10:5010814MWF 4:00-4:5011913MWF 3:00-3:50121014MWF 2:00- 2:50131110TTH 11:00-12:15141110TTH 2:00-3:15151211MWF 4:00-4:50161311TTH 2:00-3:1517142MWF 2:00-2:5018142TTH 11:00-12:1519142TTH 3:30-4:4520151MWF 10:00- 10:5021161TTH 11:00-12:1522173MWF 10:00-10:5023181TTH 2:00-3:1524194MWF 2:00-2:5025202MWF 1:00-1:5026202TTH 2:00-3:1527211MWF 4:00-4:5028221MWF 9:00- 9:5029232MWF 3:00-3:5030232TTH 9:30-10:4531232TTH 12:30-1:4532241MWF 2:00-2:5033258TTH 9:30- 10:4534258TTH 11:00-12:1535267MWF 3:00-3:5036267TTH 12:30-1:4537276MWF 3:00-3:5038275TTH 11:00- 12:1539286MWF 10:00-10:5040285TTH 3:30-4:45
- 19. CourseCourseIDDesignatorCourseTitleDescriptionCreditsDepart mentCollege14ACCT200Managerial AccountingAccounting principles and rules used in managing a business 3AccountingBusiness15ACCT201Financial AccountingAccounting principles and rules that apply to financial decision making3AccountingBusiness16ACCT300Tax AccountingA review of tax laws applicable to accounting practice3AccountingBusiness1ART100Art AppreciationAn introduction to the wide world of art3Art & MusicArts & Science2ART200Survey of Modern ArtA broad review of art produced since the middle of the 20th century3Art & MusicArts & Science5CHEM100Introduction to ChemistryAn introduction to elementary chemistry3ChemistryArts & Science6CHEM200Organic ChemistryAn in-depth review of carbon-based chemical compounds4ChemistryArts & Science25EC100Theory of Pre-K EducationA review of theories related to pre-k education3Early ChildhoodEducation26EC200PracticumThe application of educational theory in practice4Early ChildhoodEducation27ELEM100Elementary Education 1-3An introduction to educational practice for grades 1-33Elementary EducationEducation28ELEM101Elementary Education 4-6An introduction to educational practice for grades 4-63Elementary EducationEducation7HIST100American History IAmerican history until the end of the Civil War3HistoryArts & Science8HIST101American History IIAmerican history from the end of the Civil to the present3HistoryArts & Science9HIST200History of Ancient GreeceA history of Anciet Greece emphasizing its impact on western civilization3HistoryArts & Science10HIST201History of RomeA history of Roman civilization from the birth of the Republic to the fall of the Empire3HistoryArts & Science17IS100Applications DevelopmentAn introduction to applications development using an object-oriented programming language3Information SystemsBusiness18IS200Systems Analysis & DesignA review of the System Development Life
- 20. Cycle3Information SystemsBusiness19IS300Database ManagementAn introduction to the design, development, and use of relational databases in business3Information SystemsBusiness23MGMT100Principles of ManagementAn introduction to the common management principles used in organizations3ManagementBusiness24MGMT200Organizational BehaviorA review of theories related to how people behave within organizations 3ManagementBusiness20MKT100Introduction to MarketingA review of common business theories to manipulate target markets and large demographics3MarketingBusiness21MKT200Market StrategyA review of market analysis and its use in developing competitive business strategies3MarketingBusiness22MKT300Market ResearchAn introduction to market research techniques3MarketingBusiness11MTH100College AlgebraAn introduction to algebra3MathArts & Science12MTH200StatisticsAn introduction to statistics3MathArts & Science13MTH300CalculusA introduction to calculus3MathArts & Science3MUS100Music AppreciationAn introduction to music including its development over time3Art & MusicArts & Science4MUS101Introduction to Musical CompositionAn introduction to reading and writing music4Art & MusicArts & Science RoomRoomIDBuildingIDNumberRoomNameRoomTypeCapacity 1Miller153LectureC202Miller426Tiered LectureC503Miller303Computer Lab 1L154Miller254Computer Lab 2L155Smith136Lecture 1C206Smith102Lecture 2C257Smith314Lecture 3C308Smith316Tiered LectureC509Phelps365Chemistry LabL1510Phelps145Lecture 1C2511Phelps258Lecture 2C3012Kettinger315StudioL1213Kettinger456Auditorium 1C6014Kettinger254Auditorium 2C80 Lansing Convention Center (LCC)
- 21. Case 4, Group 4 BIS 255 Due: 4/23/18 Executive Summary: The assignment given to group 4 was to provide data analysis through Excel to help Phil Vischer, the coordinator for Lansing Convention Center (LCC). This is necessary because it is an easier way of tracking and analyzing the rooms they rent out through Excel instead of the Reservation database Phil uses now. The reason they are so high in demand and wanting to make a switch to Excel is because of LCC’s: location, facilities, and outstanding reputation. With more companies booking months in advance the switch is needed now; by using Excel Phil will now be able to do analysis for things like Daily rate, Total discount, and a Total Charge more efficiently. It will also allow Phil to analyze the pivot tables that will be made to help him see which rooms are used most and bring in the most money to LCC. To help group 4 with the data Phil provided an access file that allowed us to copy and paste the current data into excel. From this we were able to find the data through the given formulas. In excel we were tasked with finding the Daily rate, how long the visit was, the discount rate, total charge. By using various tools such as VLOOKUP and IF statements we were able to fill in the blanks for him. After completing the main reservation table, we were able to complete specific tasks asked of us by Phil. Some of these tasks using the filter tool on Excel were showing reservations on January 4 and also showing how often the auditorium and boardroom were booked. After completing this step, we were able to make pivot tables. Pivot tables are great for showing the data that is relevant to what is being asked of us. The Pivot tables we made included: The count of reservations by room number and we also added a bar graph for visual representation. After that we completed a table showing the count of reservations by seating codes; we also included a pie graph with percentage labels to show which were
- 22. thriving. Finally, we made pivot tables to show the average discount given by room, and how many times and how much money made from a client who booked with us. After completing the analysis that was required Phil wanted us to complete one last task for him. The task that was to be completed was to find out how much more money LCC would have made if reservations were at standard rate. To do this we made a pivot table showing the total days by room ID for reservations with advance rates. After calculating the advance discount, we used the VLOOKUP function to show this advance discount and finally multiplied it with the days to give us a total. After adding all of this up we learned that Phil could gained $9,250 more if the rooms were at standard rate. In conclusion, we have provided LCC and Phil with the materials that will help them in their day-to-day operations, allowing them to better analyze numbers and look at trends while continuing their wonderful excellent service. Introduction-Background: Phil Vischer, the event coordinator for the Lansing Convention Center (LCC) is responsible for scheduling the center’s meeting rooms and fulfilling client’s requests. LCC is a popular venue for meetings and special events. LCC is very popular among the Midwest due to the convention centers outstanding reputation, facilities, and location. The center itself has five meeting rooms, an exposition hall, a boardroom, and an auditorium. When a room is booked the client also picks one of the four seating arrangements: Lecture, Presentation, Seminar, or Small Groups. Phil has reached out to our group because LCC is becoming booked more and more months in advance, and the system he is using now is not allowing for him to analyze the data the way he wants. This project will allow our group to help LCC and Phil be able to analyze any trends that come along with their data using Excel and allow for their company to flourish further. Purpose: The purpose of the project is to help Phil to be able to analyze
- 23. the data he possesses at a faster rate than what he is able to do now. The tasks assigned to completing the project were finding the daily rate, total days of stay, the discount, and the total charge. From this we were able to use the filter tool to allow for Phil to see certain days and room bookings. Finally, we created pivot tables allowing for him to a representation of his data. After completing the tasks assigned we showed Phil how much money he could have earned if he charged strictly standard rate and not advanced. By doing this we are helping him invest into the success of his company and analyze data more effectively. Analysis: With the help of Excel, our group was able to help Phil use the data he has provided and take it even further. Before beginning the tasks, we were first required to go to Phil’s records on Access and then copy and paste them into Excel. The records that were given looks like this: From the 64 reservations that were made we were able to see reservation number, the room ID, client number, rate code, reservation date with when they started and ended, and finally the seating code. Besides giving us this information we were also given a lookup table for the room ID’s pictured below: RoomID RoomDescription AdvanceRate StandardRate AU Auditorium $2,250.00 $2,500.00
- 24. BD Boardroom $1,575.00 $1,750.00 EH Exposition Hall $2,925.00 $3,250.00 M1 Meeting Room 1 $1,800.00 $2,000.00 M2 Meeting Room 2 $1,800.00 $2,000.00 M3 Meeting Room 3 $1,800.00 $2,000.00 M4 Meeting Room 4 $1,800.00 $2,000.00 M5 Meeting Room 5 $1,800.00 $2,000.00 After we were given this information we were tasked with finding the daily rate, the total amount of days, the discount, and the total charge. To do this we use the information provided by Phil and the lookup table to complete the analysis. You are able to find the daily rate by using the VLOOKUP function and the IF function within the VLOOKUP to retrieve the rate based on room ID and Rate Code. You are able to see
- 25. how the function is supposed to be properly set up below. For days, you take the (End Date-Start Date) +1. To find Discount you use the IF function again, and if the reservation is more than 5 days you are able to receive a $100 discount a day. This function is also pictured below. Finally, you find the total charge by taking (Days * Daily Rate)- Discount. Below you will see a preview on how the results should look as a whole. After completing this task for Phil, we were able to use the filter tool on Excel and find the reservations just made on January 4, 2015. We then copy and pasted the results onto a new sheet. Similarly, we were able to use the filter tool again to find all the reservations made just in the boardroom and auditorium. We also copied and pasted these results onto a new sheet for quick access. The results from both these tasks are shown below: Once we completed the first 5 tasks assigned of us, Phil wanted to know how far in advance, on average, clients make their reservations. First, we added the title, days in advance, onto our reservation worksheet. Next, we calculated each number by using the start date minus the reservation date then adding 1. After finding each number we took the average by using the AVERAGE function. The results are shown below. The group was then asked to make 4 pivot tables to help Phil see various data points. To create a pivot table all you have to do is highlight the table you want selected, in our case the Reservation table, and then go up to the top and select insert and then pivot table. After clicking this you will be able to choose the relevant data and Excel will do the magic for you.
- 26. The first pivot table we made was a count of reservation number by room ID. In this table, we needed the reservation number and room ID. We are then able to see the total number of reservations made by room type. We then created a bar graph for him to see this information visually. The second table we created was a count of reservation number by seating code. Similarly, to the first table we need the reservation section, but this time we need the seating code section as well. After selecting this we were able to see a count of reservations by the seating code. After completing the table, we made a pie chart with percentages to show Phil how often each type is being used. For the third table, we found the average discount by room ID. The criteria needed is the room ID and discount. The information found will allow Phil to see what room is being discounted the most on average. The final pivot table we made we were able to see the total number of rooms each client reserves. After we find this we will be able to see the sum of the total charge by client. The criteria that is needed is client number, reservation number, and total charge. This allows Phil to see what customers bring in the most profit and possibly offer them deals in the future.
- 27. Below is a snippet of the findings. After finishing the work Phil had for us, he asked to complete one more task. The task assigned was to find out how much more money LCC would have made if the reservations were standard rate. To find this we first started by making a pivot table. This pivot table included the days section and room ID section. For this pivot table, we also have to include the rate code: advance so the information doesn’t show standard. After completing the pivot table, we went back to the lookup table and added a column titled advance discount. We found this “advance discount” by taking the advance rate minus the standard rate. Once this was completed we went back to our pivot table and created a column off to the side labeled advance discount. From this we used the VLOOKUP function once more to retrieve the advance discount from the lookup table. Finally, we added a total discount column and calculated this rate by multiplying the days by the advance discount rate. After finding each we added them together to get the total sum. We found that LCC could have gained $9,250 more if they were just using the standard rate. Conclusion: In conclusion, our group helped Phil learn how to utilize the data he collected and see various forms of it. After collecting the data and finding how much each room costs per booking we were able to create pivot tables full of data. It was from the pivot tables we created that Phil will now be able to see what room is being utilized the most as long with the seating arrangement. Also, he will be able to now see the total average discount by room showing what rooms will get booked for the longest period of time due to discounts only starting
- 28. after 5 days. The last pivot table shows the revenue being brought in by each client. This allows Phil to cater to their needs in the future and make sure they are taken care of first and foremost due to their high volume of booking. Lastly, we helped Phil realize how much more money he could have if he had not used the advanced rate and used the standard rate. It is with the material we have provided LCC and Phil that will help them in their day-to-day operations, allowing them to better analyze numbers and look at trends while continuing their impeccable service.